Abelian wrote:
Dear ALL
I have a list of data below
0.80010 0.72299 0.69893 0.99597 0.89200 0.69312 0.73613 1.13559
0.85009 0.85804 0.73324 1.04826 0.84002
1.76330 0.71980 0.89416 0.89450 0.98670 0.83571 0.73833 0.66549
0.93641 0.80418 0.95285 0.76876 0.82588
1.09394 1.00195 1.14976 0.80008 1.119
g [mailto:r-help-boun...@r-project.org] On
Behalf Of Charles Annis, P.E.
Sent: Sunday, April 05, 2009 10:39 AM
To: 'Mike Lawrence'; t...@centroin.com.br
Cc: 'r-help'
Subject: Re: [R] threshold distribution
The data suggest a lognormal threshold to me (and perhaps to the or
ineering.com
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Mike Lawrence
Sent: Sunday, April 05, 2009 8:13 AM
To: t...@centroin.com.br
Cc: r-help
Subject: Re: [R] threshold distribution
You didn't properly specify the x-axis c
You didn't properly specify the x-axis coordinates in your call to lines():
plot(density(x))
lines(x,dlnorm(x, -.1348, .1911), col='red')
points(x,dlnorm(x, -.1348, .1911), col='blue')
curve(dlnorm(x, -.1348, .1911), col='green',add=T)
On Sun, Apr 5, 2009 at 6:40 AM, Bernardo Rangel Tura
wrote:
On Sun, 2009-04-05 at 01:13 -0400, jim holtman wrote:
> Here is what I get from using 'fitdistr' in R to fit to a lognormal.
> The resulting density plot from the distribution seems to be a reason
> match to the data.
>
> > x <- scan()
> 1: 0.80010 0.72299 0.69893 0.99597 0.89200 0.69312 0.73613 1
Here is what I get from using 'fitdistr' in R to fit to a lognormal.
The resulting density plot from the distribution seems to be a reason
match to the data.
> x <- scan()
1: 0.80010 0.72299 0.69893 0.99597 0.89200 0.69312 0.73613 1.13559
9: 0.85009 0.85804 0.73324 1.04826 0.84002
14: 1.76330 0.71
Dear ALL
I have a list of data below
0.80010 0.72299 0.69893 0.99597 0.89200 0.69312 0.73613 1.13559
0.85009 0.85804 0.73324 1.04826 0.84002
1.76330 0.71980 0.89416 0.89450 0.98670 0.83571 0.73833 0.66549
0.93641 0.80418 0.95285 0.76876 0.82588
1.09394 1.00195 1.14976 0.80008 1.11947 1.09484 0.8149
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